Local-Global Feature Capture and Boundary Information Refinement Swin Transformer Segmentor for Remote Sensing Images

Local-Global Feature Capture and Boundary Information Refinement Swin Transformer Segmentor for Remote Sensing Images

Semantic segmentation of urban remote sensing images is a highly challenging task. Due to the complex background, occlusion overlap, and small-scale targets in urban remote sensing images, the semantic segmentation results suffer from deficiencies such as similar target confusion, blurred target bou...

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Bibliographic Details
Main Authors: Rui Lin, Ying Zhang, Xue Zhu, Xueyun Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Boundary information
dual linear attention
feature capture
remote sensing images
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10382529/

Internet

https://ieeexplore.ieee.org/document/10382529/

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